A Study of Correlation Impact on Privacy Preserving Data Mining

Hyma, J.; Reddy, P. Jayarama; Damodaram, A.

doi:10.5120/ijca2015907152

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…Compared with the service provider, the user can log in directly after the user has successfully registered on the demand side, without the need for auditing by the system administrator. After logging in with the user name and password at the time of registration, users can modify and perfect their personal information [12].…”

Section: Functional Analysis Of Service Demand Sidementioning

confidence: 99%

Collaborative Sharing Model of Basic Information of Sustainable Electronic Agriculture Based on Blockchain

2022

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At present, there is relatively little research on the collaborative sharing of basic agricultural information logistics in electronic agriculture. In view of the problems of information asymmetry, uncoordination, and difficulty in establishing an effective trust mechanism among internal users of the basic cooperative information sharing system of electronic agricultural basic logistics, no effective solutions have been proposed yet solution. This paper designs and implements the Ethereum blockchain big data sharing prototype system. The realization method of shared logistics for blockchain collaboration is proposed. Based on scholars' research on sharing economy, shared logistics and blockchain, a method of applying blockchain to shared logistics is proposed. On the basis of shared logistics to realize the recycling of temporarily idle resources, using the characteristics of blockchain permanent, non-tampering and decentralization, to solve the problem of trust transactions in the process of sharing logistics resources, and using the shared logistics information platform as a medium, A new method of shared logistics under blockchain collaboration. Build a service operation mode for the shared logistics information platform. Since warehousing and transportation are the two most important factors that affect logistics costs, the service mode of the platform is mainly for shared warehousing and shared transportation. The storage and transportation resources are integrated and reused through the information platform to achieve the purpose of reducing logistics costs. This article proposes the communication and aggregation mode of consumer information reviews, and combines the shortcomings of existing online review information to propose measures for its quality control and prospects for future technologies. Experimental results show that when the number of operation and maintenance nodes is 20, 50, and 100, respectively, as the number of file partitions increases, and as the number of nodes increases, the number of file partitions that can be backed up increases, reaching the lowest threshold.

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Section: Functional Analysis Of Service Demand Sidementioning

confidence: 99%

Collaborative Sharing Model of Basic Information of Sustainable Electronic Agriculture Based on Blockchain

2022

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“…Hyma et al [32] by the end of 2015, studied various correlation constraints that need to be considered while ensuring privacy to a correlated dataset. They area.)…”

Section: Study Of Correlation Constraintsmentioning

confidence: 99%

Machine Learning Concepts for Correlated Big Data Privacy

Biswas¹,

Khare²,

Agrawal³

et al. 2021

Preprint

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With data becoming a salient asset worldwide, dependence within data kept on growing, hence the real world datasets that one works upon in today's time are highly correlated. Since the past few years, researchers have given attention to this aspect of data privacy and found that where there exists a correlation among data, the existing privacy guarantees could not be assured with existing privacy algorithms. The privacy guarantees provided by existing algorithms were enough when there existed no relation between data in the datasets. Hence, by keeping the existence of data correlation into account, there is a dire need, to reconsider the privacy algorithms. Some of the research have considered to utilize a well known machine learning concept, i.e., Data Correlation Analysis to understand the relationship between data in a better way. This has given some promising results as well. Though its less but still a considerable amount of research has been done for correlated data privacy. But correlated big data privacy is very less explored. The real world datasets that are worked upon, are often large in size (technologically termed as big data) and house a high amount of data correlation. Hence, there is a grave need to understand and propose solutions for correlated big data privacy.

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